EP 3523729 A4 20200610 - METHODS FOR AUTOMATED CONTROVERSY DETECTION OF CONTENT
Title (en)
METHODS FOR AUTOMATED CONTROVERSY DETECTION OF CONTENT
Title (de)
VERFAHREN ZUR AUTOMATISCHEN UNSTIMMIGKEITSERKENNUNG VON INHALTEN
Title (fr)
PROCÉDÉS DE DÉTECTION AUTOMATISÉE DE LA CONTROVERSE DE CONTENUS
Publication
Application
Priority
- US 201662404839 P 20161006
- US 2017055637 W 20171006
Abstract (en)
[origin: WO2018068002A1] A probabilistic framework to detect controversy on the web. The prior kNN-WC algorithm is recast into a theoretical framework and a new language model introduced. Language models are constructed that are used to calculate probabilities. The probabilities are compared to determine whether or not a certain document is controversial.
IPC 8 full level
G06F 40/30 (2020.01); G06F 15/16 (2006.01); G06F 40/20 (2020.01); G06Q 30/02 (2012.01)
CPC (source: EP GB IL US)
G06F 15/16 (2013.01 - GB IL US); G06F 40/20 (2020.01 - EP GB IL US); G06F 40/30 (2020.01 - EP IL US)
Citation (search report)
- No further relevant documents disclosed
- See references of WO 2018068002A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
DOCDB simple family (publication)
WO 2018068002 A1 20180412; EP 3523729 A1 20190814; EP 3523729 A4 20200610; GB 201904968 D0 20190522; GB 2568854 A 20190529; IL 265851 A 20190630; IL 265851 B 20210630; US 10949620 B2 20210316; US 2019294677 A1 20190926
DOCDB simple family (application)
US 2017055637 W 20171006; EP 17859289 A 20171006; GB 201904968 A 20171006; IL 26585119 A 20190404; US 201716339234 A 20171006